Evidence map›Paper›PMID 39319809›Full record

ArticleThe western journal of emergency medicine2024

Telemedical Direction to Optimize Resource Utilization in a Rural Emergency Medical Services System.

Ramesh Karra, Amber D Rice, Aileen Hardcastle, Justin V Lara, Adrienne Hollen, Melody Glenn, Rachel Munn, Philipp Hannan, Brittany Arcaris, Daniel Derksen and 2 more

Abstract read
In one paragraph

Article in The western journal of emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Ramesh KarraThe University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona.
Amber D RiceThe University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona.
Aileen HardcastleThe University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona.
Justin V LaraThe University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona.
Adrienne HollenThe University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona.
Melody GlennThe University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona.
Rachel MunnThe University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona.
Philipp HannanThe University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona.
Brittany ArcarisThe University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona.
Daniel DerksenThe University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona.
Daniel W SpaiteThe University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona.
Joshua B GaitherThe University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Telemedicine remains an underused tool in rural emergency medical servces (EMS) systems. Rural emergency medical technicians (EMT) and paramedics cite concerns that telemedicine could increase Advanced Life Support (ALS) transports, extend on-scene times, and face challenges related to connectivity as barriers to implementation. Our aim in this project was to implement a telemedicine system in a rural EMS setting and assess the impact of telemedicine on EMS management of patients with chest pain while evaluating some of the perceived barriers. Methods: This study was a mixed-methods, retrospective review of quality assurance data collected prior to and after implementation of a telemedicine program targeting patients with chest pain. We compared quantitative data from the 12-month pre-implementation phase to data from 15 months post-implementation. Patients were included if they had a chief complaint of chest pain or a 12-lead electrocardiogram had been obtained. The primary outcome was the rate of ALS transport before and after program implementation. Secondary outcomes included EMS call response times and EMS agency performance on quality improvement benchmarks. Qualitative data were also collected after each telemedicine encounter to evaluate paramedic/EMT and EMS physician perception of call quality. Results: The telemedicine pilot project was implemented in September 2020. Overall, there were 58 successful encounters. For this analysis, we included 38 patients in both the pre-implementation period (September 9, 2019-September 10, 2020) and the post-implementation period (September 11, 2020-December 5, 2021). Among this population, the ALS transport rate was 42% before and 45% after implementation (odds ratio 1.11; 95% confidence interval 0.45-2.76). The EMS median out-of-service times were 47 minutes before, and 33 minutes after ( Conclusion: In this rural EMS system, a telehealth platform was successfully used to connect paramedics/EMTs to board-certified EMS physicians over a 15-month period. Telemedicine use did not alter rates of ALS transports and did not increase on-scene time. The majority of paramedics/EMTs and EMS physicians rated the quality of the telemedicine connection as "good."

Indexed as

Emergency Medical ServicesEmergency Medical TechniciansRural Health ServicesTelemedicineAdultChest PainFemaleHumansMaleMiddle AgedPilot ProjectsRetrospective Studies

Identifiers

PMID39319809
PMCPMC11418857

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.